A Comprehensive Review of Bias in Deep Learning Models: Methods, Impacts, and Future Directions

M Shah, N Sureja - Archives of Computational Methods in Engineering, 2024 - Springer
This comprehensive review and analysis delve into the intricate facets of bias within the
realm of deep learning. As artificial intelligence and machine learning technologies become …

Few-Shot Classification Based on the Edge-Weight Single-Step Memory-Constraint Network

J Shi, H Zhu, Y Bi, Z Wu, Y Liu, S Du - Electronics, 2023 - mdpi.com
Few-shot classification algorithms have gradually emerged in recent years, and many
breakthroughs have been made in the research of migration networks, metric spaces, and …